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Since June 2025
Instructor since June 2025
Data and Statistical Analysis for beginners to Pro
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From 78 C$ /h
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Data analysis is a valuable skill for students in many fields, from business and science to social studies. As a student, you'll need to understand how to collect, organize, and interpret data to support your research, class projects, or future career goals. I’ve designed this course as a hands-on introduction to data analysis that's made specifically for students.

You’ll learn how to use tools like Excel, Google Sheets, and basic Python to clean data, create charts and graphs, and draw meaningful conclusions from real datasets. This class will help you build strong analytical skills that will not only boost your academic performance but also prepare you for data-driven world.
Extra information
Bring your own laptop
Location
location type icon
Online from United States
About Me
I believe in creating a positive, judgment-free environment where students feel comfortable asking questions and making mistakes—because that's how real learning happens. I focus on building strong foundations and teaching problem-solving strategies that stick, not just memorizing formulas.
I’ve worked with students of all levels—from elementary school to college—and I tailor each lesson to fit individual learning styles and goals. I especially enjoy working with students who may have struggled with math in the past and are ready to approach it in a new, more confident way.
If you're looking for someone who will explain concepts clearly, keep you motivated, and celebrate your progress with you—I’d love to work together!
Education
Master of Science in Mathematics, San José State University, 2023

Bachelor of Science in Mathematics, California State University, Fullerton, 2021

GPA: 3.8/4.0
Experience / Qualifications
I have over 3 years of experience tutoring students in a wide range of math topics, from basic arithmetic to advanced calculus and statistics. While pursuing my Bachelor’s and Master’s degrees in Mathematics, I worked as a private tutor and a teaching assistant, helping both high school and college students improve their grades, build confidence, and prepare for exams like the SAT, ACT, and AP Calculus.
In addition to strong academic credentials, I have hands-on experience working with students with learning differences, test anxiety, and math-related confidence issues. I pride myself on creating a calm, encouraging environment where students feel supported and capable of mastering any topic.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Math is a powerful tool for problem-solving and critical thinking. As a student, you'll need to navigate a variety of mathematical concepts that can often feel overwhelming. I’ve designed this course as a practical and supportive guide to help students build confidence and excel in math—whether you're struggling with the basics or tackling advanced topics.

You’ll learn how to solve equations, understand functions, work with geometry and algebra, and apply mathematical thinking to real-world problems. We'll use clear explanations, step-by-step strategies, and lots of practice to not only improve your grades, but also transform how you approach math with clarity and confidence.
Read more
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I would guide you step by step to get familiarised with the tools of Microsoft Office programmes (Word, Excel, and PowerPoint) that you believe you might need to meet your purposes. Your level of experience will determine where we start and how we proceed through the course.
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verified badge
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verified badge
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Python fundamentals through a finance lens (data structures, functions, control flow).
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• Lecturer at the American University AUC
• Over 20 years of experience in training students for government employees, oil companies (BP), food companies (Nestle), banks (CIB), and telecommunications companies (Vodafone).

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o Programming and computer courses for all educational levels (from primary to university)
o Microsoft Windows, Word, Excel, PowerPoint, Outlook, MS-Project
o Programming, C, C++, VB.NET, C#, Python, Database, SQL, MQL, VBA
o HTML, CSS, JavaScript, Angular
o Different database systems
o Data analysis using Excel
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o Using artificial intelligence in life and work

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• Prepare yourself to work as a Front-End / Back-End / Full Stack Developer
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• Lessons are available in person or online.
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verified badge
A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.
verified badge
Master Microsoft Excel with personalized courses!

Do you want to learn Excel or improve your skills? Whether you are a beginner, student, professional or entrepreneur, I offer courses tailored to your level and objectives.

✅ Discovering the Excel interface
✅ Data entry and formatting
✅ Essential formulas and functions (SUM, IF, VLOOKUP/XLOOKUP, INDEX, etc.)
✅ Professional charts and graphs
✅ Sorting, filters, and conditional formatting
✅ Pivot tables
✅ Data management and analysis
✅ Tips to save time and improve your productivity

🎯 Why choose these courses?

100% personalized training
Simple and practical explanations
Practical exercises and projects
Flexible hours
Step-by-step guidance
Suitable for students, employees, entrepreneurs and job seekers

Develop an essential skill and improve your efficiency with Microsoft Excel. Book your first lesson today and progress quickly with professional guidance!
Good-fit Instructor Guarantee
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